Ocular-vestibular Biomarker Identification for ADHD
Study Details
Study Description
Brief Summary
This study intends to establish a relationship between oculovestibular eye tracking measures, measures of ADHD, and medication prescribed for ADHD.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
This study will use a predictive visual tracking paradigm (SyncThink EYE-SYNC eye tracking paradigm) to dynamically capture the participants' attentional state. It will examine the validity of the eye tracking paradigm in identifying the disruption in attentional networks caused by ADHD by examining the association between eye tracking performances and well-established standardized measures of ADHD.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Adults - Diagnosis Adults seeking treatment for an attention-related disorder |
Device: EYE-SYNC
Nystagmograph used to measure eye movement
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Adults - Prescribed Adults who have been diagnosed with ADHD and prescribed medication treatment for the disorder |
Device: EYE-SYNC
Nystagmograph used to measure eye movement
|
Children - Diagnosis Children seeking treatment for an attention-related disorder |
Device: EYE-SYNC
Nystagmograph used to measure eye movement
|
Children - Prescribed Children who have been diagnosed with ADHD and prescribed medication treatment for the disorder |
Device: EYE-SYNC
Nystagmograph used to measure eye movement
|
Outcome Measures
Primary Outcome Measures
- Eye Tracking and ADHD measure correlation [through study completion, an average of 1 year]
Zero-order correlations among eye tracking parameters, CAARS ADHD indices, CBRS ADHD indices, and confounding variables
- Eye Tracking ADHD Diagnostic ROC [through study completion, an average of 1 year]
Specific eye tracking parameters will be compared to determine which have the greatest diagnostic utility. Supervised machine learning models will be generated and optimized ROC AUC for both children and adults using eye tracking parameters as input and CAARS indices, CBRS indices, and clinical diagnosis as outcomes
- MANCOVA Eye Tracking in ADHD Treatment Population [through study completion, an average of 1 year]
Repeated measures multivariate analysis of covariance (MANCOVA) will be used to compare eye tracking performance over time in adults and children with ADHD (medicated and unmedicated)
Eligibility Criteria
Criteria
Inclusion Criteria:
- Men and women ages 6-70 seeking evaluation and treatment for ADHD.
Exclusion Criteria:
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Clinical diagnosis of a neurological condition including the following: stroke, multiple sclerosis, epilepsy, brain tumor/cancer, dyslexia, nystagmus and/or other major neurological condition.
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Clinical diagnosis of any of the following eye-sight abnormalities: uncorrected amblyopia, uncorrected myopia, uncorrected presbyopia, uncorrected farsightedness or uncorrected Astigmatism.
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Psychiatric history with any of the following:
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LIFETIME: Clinical diagnosis of a psychotic disorder; bipolar disorder
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LAST YEAR: Clinical diagnosis of major depressive disorder; PTSD; clinical diagnosis of substance abuse disorder; major anxiety disorder
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Use of a psychotropic medication
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Impairment of cranial nerves II-VI
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Participants who receive a 'Poor' or 'Fair' eye tracking quality result on either their baseline or follow-up evaluations will be excluded from analysis. Subjects may not repeat participation
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Palo Alto Medical Foundation - San Carlos Center | San Carlos | California | United States | 94070 |
Sponsors and Collaborators
- Sync-Think, Inc.
- Sutter Health
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- EYESYNCOBIADHD2020